@inproceedings{3d6e65930c174cbca5a3c49d53938162,
title = "Experiential solving: Towards a unified autonomous search constraint solving approach",
abstract = "To solve many problems modeled as Constraint Satisfaction Problems there are no known efficient algorithms. The specialized literature offers a variety of solvers, which have shown good performance. Nevertheless, despite the efforts of the scientific community in developing new strategies, there is no algorithm that is the best for all possible situations. This paper analyses recent developments of Autonomous Search Constraint Solving Systems. Showing that the design of the most efficient and recent solvers is very close to the Experiential Learning Cycle from organizational psychology.",
keywords = "Autonomous search, Experiential learning, Metaheuristics, Problem solving",
author = "Broderick Crawford and Ricardo Soto and Kathleen Crawford and Franklin Johnson and {de la Barra}, {Claudio Le{\'o}n} and Sergio Galdames",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 17th International Conference on Human Computer Interaction, HCI 2015 ; Conference date: 02-08-2015 Through 07-08-2015",
year = "2015",
doi = "10.1007/978-3-319-21380-4_97",
language = "English",
isbn = "9783319213798",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "573--577",
editor = "Constantine Stephanidis",
booktitle = "HCI International 2015 – Posters Extended Abstracts - International Conference, HCI International 2015, Proceedings",
}